Maxime Clement is a research engineer based in Tokyo with a PhD in Artificial Intelligence and five years of postdoctoral and industry experience bridging AI research and robotics. He has worked at the National Institute of Informatics, Ascent Robotics, and Tier IV, applying multi-agent systems, optimization, decision making, ontology reasoning, and machine learning to real-world autonomous systems. Maxime contributes to open-source autonomous vehicle tooling—most notably implementing simulated clock and control features in the Autoware RViz plugin—demonstrating practical ROS2 and simulation expertise. Fluent in both academic rigor and engineering delivery, he turns theoretical models into robust simulation and backend components for autonomy stacks. An early background in French AI education and hands-on municipal IT work gives him a pragmatic, interdisciplinary perspective often missing in pure research profiles.
4 years of coding experience
3 years of employment as a software developer
DUT, Informatique, DUT, Informatique at IUT de Montreuil
Master Informatique, Artificial Intelligence, Master Informatique, Artificial Intelligence at Université Pierre et Marie Curie (Paris VI)
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at 総合研究大学院大学
Contributions:534 reviews, 21 commits, 403 PRs in 11 months
Contributions summary:Maxime primarily contributed to the `autoware_universe` repository by implementing features related to the simulated clock within an RViz plugin. They added functionalities such as publishing and controlling the simulated clock, including features for step control and package renaming. The user addressed bugs, updated documentation, and improved the plugin's description and icon. The commits show a focus on ROS2 and autonomous vehicle simulation, particularly around time management.
Contributions:14 pushes, 6 branches in 2 years 9 months
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